Beyond Shannon Capacity: Deep Semantic Communication for Enhanced Performance in Impulsive Noise Environments

Deep Semantic Communication (DSC) has emerged as a promising paradigm within the rapidly evolving landscape of digital communication. However, its potential in impulsive noise environments—a significant challenge to transmission reliability—has never been explored before. This letter addresses this gap by proposing IN-DeepSC, a DSC architecture specifically designed to mitigate impulsive noise. We introduce a novel empirical approach to evaluate the mutual information (MI) conveyed by IN-DeepSC, demonstrating its superior performance compared to traditional bit-based communication systems and the original popular DeepSC model. Our findings highlight DSC’s ability to exceed the Shannon capacity limit in challenging noise conditions, positioning it as a transformative technology for future communication systems.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-11-04
DOI
https://doi.org/10.1109/lwc.2024.3490856
Citations
2
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.50
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article

Beyond Shannon Capacity: Deep Semantic Communication for Enhanced Performance in Impulsive Noise Environments

Md Sahabul Alam, Georges Kaddoum, Minh Au, Bassant Selim et al.
2 citations
IEEE Wireless Communications Letters
Music Technology and Sound Studies
0.50
article

Beyond Shannon Capacity: Deep Semantic Communication for Enhanced Performance in Impulsive Noise Environments

Md Sahabul Alam, Georges Kaddoum, Minh Au, Bassant Selim, Hazem Barka
article en
2 citations

Abstract

Deep Semantic Communication (DSC) has emerged as a promising paradigm within the rapidly evolving landscape of digital communication. However, its potential in impulsive noise environments—a significant challenge to transmission reliability—has never been explored before. This letter addresses this gap by proposing IN-DeepSC, a DSC architecture specifically designed to mitigate impulsive noise. We introduce a novel empirical approach to evaluate the mutual information (MI) conveyed by IN-DeepSC, demonstrating its superior performance compared to traditional bit-based communication systems and the original popular DeepSC model. Our findings highlight DSC’s ability to exceed the Shannon capacity limit in challenging noise conditions, positioning it as a transformative technology for future communication systems.

IEEE Wireless Communications LettersVol. 14(1)
California State University, Northridge (US), École de Technologie Supérieure (CA)
Openalex Percentile: Top 34%
Music Technology and Sound Studies
0.50
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Beyond Shannon Capacity: Deep Semantic Communication for Enhanced Performance in Impulsive Noise Environments — Md Sahabul Alam, Georges Kaddoum, et al. · IEEE Wireless Communications Letters (2024) | TGRS Research Map | TGRS